Statistical & Machine Learning / AI Data Scientist AdvisorSr. Advisor

Key Skills

Aartificial intelligence, Apache Airflow, Clustering, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Deep Learning, Design, Docker, Effective communication skills, Keras software library, Leadership Skill, Machine learning techniques, MLflow, MLOps tools, Natural Language Processing (NLP), Python Programming, PyTorch, R Programming, SQL, TensorFlow

Job Description

We are transforming Marketing at Dell. Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Our mission is to develop a whole new approach to generating meaning and value from large scale data sets.

We are looking for a passionate data scientist to join our established team and develop robust, scalable data modeling solutions that generate unique insights to optimize the outcome of marketing activities and support informed decision-making. You will be solving some of the hardest problems for business leveraging ML/AI. The models and solutions you deliver will be the essential ingredient we use to supply our customers & sales with relevant recommendations and creative breakthroughs for our business.

What are our goals in Marketing?

• Drive perception.
• Drive demand.
• Grow the buyer base.
• Build the best content.

Join us as a Statistical & Machine Learning / AI Data Scientist Advisor on our Data Engineering team in Spain to do the best work of your career and make a profound social impact.

What You’ll Achieve

As a Statistical & Machine Learning / AI Data Scientist Advisor, you should have experience in analyzing data and building models on a large scale. You should have solid business and communication skills to be able to work with business owners to develop and define key business questions and to build modeling solutions that answer those questions. We expect you to be familiar with most of the standard methods: linear regression, logistic regression, regularized regressions, nearest neighbors, k-means, decision tree-based algorithms (random forest, extreme gradient boosting), neural networks and/or deep learning. However, it is also important to be curious about the latest trends in data science and creative in applying/implementing new methods or combinations of them to our data.

You will have the opportunity to demonstrate and develop your analytical and technical skills with challenging projects and work with experienced data scientists and data/ML engineers. Expect to expand your skills in Python / R and apply machine learning techniques to large datasets.

We offer you a fast-paced work environment in a diverse team with exposure to Dell teams across the globe. You will be part of a dynamic, collaborative and cross-functional team focused on making significant business impacts.

You will:

• Drive discussions to frame problem statements, develop hypotheses, design data frames, recommend modeling approaches, measure success & testing criteria
• Establish scalable, efficient, automated processes for large scale feature engineering, model development, model validation and production
• Communicate with product teams and leadership and turn hard and abstract into simple and approachable

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements:

• You have 3+ years of professional experience in predictive modeling and analysis, designing and implementing solutions to drive business outcomes.
• Education (Master’s degree or higher) in Statistics, Computer Science, Mathematics, or a related technical field, or equivalent practical experience.
• Proficiency in SQL and Python/R especially on data wrangling, analysis, modeling and ability to build scalable machine learning pipelines. Excellent problem solving, analytic skills, knowledge of core statistical concepts and English communication skills.
• Advanced knowledge of data science methods (Decision Tree/Regression based methods, Clustering, etc.)

Desirable Requirements:

• Experience with methods and technologies such as NLP and deep learning (Keras, Tensorflow, Pytorch).
• Software engineering experience particularly related to productionizing machine learning models and scaling them in low-latency settings (Docker, Airflow, MLFlow, CI/CD).

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Application closing date: 20 September 2023

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.